About this role
DigitalXNode is hiring a Data Analytics Developer on behalf of a client to turn large volumes of platform, content and consumer data into business insights. The role combines analytics, machine learning and data engineering to support AI, product and content teams.
Responsibilities
- Build scalable ETL and data-processing pipelines; collect, clean and transform data from platform APIs and internal sources.
- Analyze views, watch time, engagement, catalog information and metadata. Apply machine learning to identify trends and user segments, develop predictive insights, and forecast content and business performance.
- Design data models for reporting and decision-making, optimize SQL queries and warehouse operations, and deliver data-driven recommendations to cross-functional teams.
- Maintain data quality, integrity and documentation; improve analytics workflows and deploy and maintain ML-based analytical solutions. Translate business requirements into technical solutions and present findings to technical and non-technical stakeholders.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics or a related field, and a minimum of 2–5 years of experience in data analytics, machine learning or data science.
- Strong Python and advanced SQL skills; hands-on experience with Pandas, NumPy and Scikit-learn. Experience with PyTorch or TensorFlow and XGBoost or LightGBM; knowledge of Jupyter Notebook and familiarity with BigQuery or a similar cloud data warehouse.
- Experience analyzing consumer, media or content-platform data; applying regression, classification, clustering and forecasting; and working with large datasets, engagement metrics, predictive models and AI-driven analytics workflows. Knowledge of visualization, reporting, API integration, feature engineering, data governance and scalable pipelines is required. Strong analytical, problem-solving, communication and collaboration skills are also expected.
Preferred
Experience in content, media, consumer internet or platform analytics. Preferred certifications include Google Professional Data Engineer, Microsoft Azure Data Engineer Associate, Google Cloud Professional Machine Learning Engineer and Databricks Data Engineer Certification.
The posting lists Noida and Gurugram, India. Its description offers remote/hybrid work and full-time or contractual engagement depending on preference and eligibility; the job details list onsite/hybrid work and full-time employment.